云时代下的大数据安全技术

[摘要] 认为云计算结合大数据，是时代发展的必然趋势。提出了保障大数据安全的方法和技术，方法包括：构建云环境下的大数据信息安全体系，建立并研究基于Hadoop的大数据安全架构等；技术包括：基于大数据的威胁发现技术、大数据真实性分析技术、基于大数据的认证技术、基于大数据的安全规则挖掘技术，以及防范高级持续性威胁（APT）攻击的技术。认为大数据带来许多新的安全问题和挑战，但它本身也是解决问题的重要手段，需要进一步地研究。

[关键词] 大数据；云计算；大数据安全；APT攻击；数据挖掘

[Abstract] The combination of cloud computing and big data is an inevitable trend. In this paper, methods and techniques for ensuring the security of large data are presented. These methods include: building a large data information security system in a cloud environment and establishing and studying the big data security architecture based on Hadoop. These techniques include: threat discovery based on big data, big data authenticity analysis, authentication based on big data, security rule mining based on big data, and preventing advanced persistent threat (APT) attack. Big data creates many new security problems and challenges, but it is also an important means to solving the problem, which needs for further research.

[Keywords] big data; cloud computing; big data security; APT attack; data mining technology